title: Pulmonary kinematics from image data: a review.
abstract: The effects of certain lung pathologies include alterations in lung physiology negatively affecting pulmonary compliance. Current approaches to diagnosis and treatment assessment of lung disease commonly rely on pulmonary function testing. Such testing is limited to global measures of lung function, neglecting regional measurements, which are critical for early diagnosis and localization of disease. Increased accessibility to medical image acquisition strategies with high spatiotemporal resolution coupled with the development of sophisticated intensity-based and geometric registration techniques has resulted in the recent exploration of modeling pulmonary motion for calculating local measures of deformation. In this review, the authors provide a broad overview of such research efforts for the estimation of pulmonary deformation. This includes discussion of various techniques, current trends in validation approaches, and the public availability of software and data resources.
authors.affiliation: Department of Radiology and Medical Imaging, University of Virginia, USA. ntustison@virginia.edu
authors.forename: Nicholas J
authors.initials: NJ
authors.lastname: Tustison
authors.forename: Tessa S
authors.initials: TS
authors.lastname: Cook
authors.forename: Gang
authors.initials: G
authors.lastname: Song
authors.forename: James C
authors.initials: JC
authors.lastname: Gee
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D012129:Respiratory Function Tests / Q000379:methods*